Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas

Dilpreet Buxi, Jean-Michel Redoute, Mehmet Rasit Yuce

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

1 Citation (Scopus)


Cardiovascular vital signs are measured using continuous wave (CW) radar at 2.45GHz with a body-contact antenna. Using a previously collected database of thirty second recordings at paced breathing conditions, CW radar signals were measured together with heart sounds, electrocardiogram (ECG), respiration and impedance cardiogram (ICG) were as reference signals. Using arbitrarily chosen features from the radar signal, the systolic time intervals (STI)s from radar are compared with those from the ICG. The correlation coefficients between the STIs of radar and ICG were 0.72, 0.66 and 0.81 for the pre-ejection period, left ventricular ejection time and electromechanical systole respectively. The p-value was below 0.0001 for all coefficients, indicating a significant correlation. The results indicate that the radar signals capture cardiomechanical signals, which have great potential to be used for STI estimation in ambulatory conditions.

Original languageEnglish
Title of host publication2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017
EditorsJoerg Habetha, Steffen Leonhardt, Guang-Zhong Yang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781509062447
ISBN (Print)9781509062454
Publication statusPublished - 30 May 2017
EventBody Sensor Networks 2017 - Eindhoven, Netherlands
Duration: 9 May 201712 May 2017
Conference number: 14th


ConferenceBody Sensor Networks 2017
Abbreviated titleBSN 2017
OtherIEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017

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